2016
Ranking the parameters of deep neural networks using the fisher information
ICASSP 2016accepted
The large number of parameters in deep neural networks (DNNs) often makes them prohibitive for low-power devices, such as field-programmable gate arrays (FPGA). In this paper, we propose a method to determine the relative importance of all network parameters by measuring the amount of information th…